Synopsis | Download and installation | Package | Data sets | Input files | Genetic relationship matrix | Phenotype file | GREML AE models | Multivariate AE models | Model descriptions | Cholesky model | Independent Pathway model | IPC model | Direct Symmetric model | Estimation | Examples | Outline | Tri-variate example | Data simulation | DS model | Quad-variate example | GREML versus GRM-SEM | References
Package: grmsem 1.1.0
grmsem: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)
Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) <doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020) <doi:10.1101/2020.08.14.251199>.
Authors:
grmsem_1.1.0.tar.gz
grmsem_1.1.0.zip(r-4.7-any)grmsem_1.1.0.zip(r-4.6-any)grmsem_1.1.0.zip(r-4.5-any)
grmsem_1.1.0.tgz(r-4.6-any)grmsem_1.1.0.tgz(r-4.5-any)
grmsem_1.1.0.tar.gz(r-4.7-any)grmsem_1.1.0.tar.gz(r-4.6-any)
grmsem_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
grmsem/json (API)
| # Install 'grmsem' in R: |
| install.packages('grmsem', repos = c('https://bstpourcain.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c9847e92ea. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 159 | ||
| source / vignettes | OK | 182 | ||
| linux-release | WARNING | 161 | ||
| macos-release | WARNING | 311 | ||
| macos-oldrel | WARNING | 248 | ||
| windows-devel | WARNING | 180 | ||
| windows-release | WARNING | 184 | ||
| windows-oldrel | WARNING | 171 | ||
| wasm-release | OK | 107 |
Exports:grm.bin.inputgrm.inputgrmsem.bihergrmsem.fcohergrmsem.fitgrmsem.stpargrmsem.var
Dependencies:cliexpmgenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormnumDerivoptimParallelpillarpkgconfigrlangsurvivaltibbleutf8vctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Prefitted model: large data set | fit.large |
| Symmetric GRM data: small data set | G.small |
| grm import function | grm.bin.input |
| grm import function | grm.input |
| grmsem bivariate heritability estimation function. | grmsem.biher |
| grmsem factorial co-heritability and co-environmentality estimation function. | grmsem.fcoher |
| grmsem model fitting function | grmsem.fit |
| grmsem standardised parameters function | grmsem.stpar |
| grmsem variance estimation function | grmsem.var |
| Phenotype data: large data set | ph.large |
| Phenotype data: small data set | ph.small |